Not Very Resilient
Last Update: 8/30/2026
AI Resilience Score for Weighers & Measurers:
27.5%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forWeighers, Measurers, Checkers, and Samplers, Recordkeeping
$46,380 median salary•4,700 annual openings•SOC Code: 43-5111.00
Weighers, Measurers, Checkers, and Samplers, Recordkeeping are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled "Not Very Resilient" because the core tasks, weighing, measuring, checking products, and logging records, are exactly the kind of repetitive, rule-based work that AI and computer vision systems are designed to handle. Automated inspection cameras can now spot defects, count items, and record data faster and more accurately than humans, and the Bureau of Labor Statistics projects a 6 percent decline in employment for these roles from 2025 to 2035.
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This career is labeled "Not Very Resilient" because the core tasks, weighing, measuring, checking products, and logging records, are exactly the kind of repetitive, rule-based work that AI and computer vision systems are designed to handle. Automated inspection cameras can now spot defects, count items, and record data faster and more accurately than humans, and the Bureau of Labor Statistics projects a 6 percent decline in employment for these roles from 2025 to 2035.
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Weighers & Measurers
Updated Quarterly
How is AI changing Weighers & Measurers jobs?
If you're worried about robots taking over this job, here's the honest picture: the "checking and measuring" part is being heavily automated, but the "judgment and problem-solving" part still needs people. The biggest shift is AI-powered vision inspection, where cameras and machine-learning models automatically weigh, count, and check products for defects. According to the trade group A3, AI-powered vision inspection is "becoming a practical addition to the modern manufacturing toolkit" [1], and some deployments can reduce scrap or manual inspection costs by hundreds of thousands of dollars per production line [1].
Quality Magazine notes that organizations are now using AI to "predict equipment failures, identify process variations, automate inspections" [2] — with the goal of shifting from reactive checking to predictive quality management. For measurement itself, NIST researchers are showing that AI models can extend the viability of measurements from noisy, low-contrast images [3] in semiconductor metrology. Recordkeeping is also being augmented: computer vision systems in warehouses now read operations from camera feeds instead of manual scans and counts [4], auto-logging inventory data.
Sources
How fast is AI adoption growing for Weighers & Measurers?
Adoption is moving fast in warehouses and factories but slower in smaller operations. The U.S. Bureau of Labor Statistics projects overall employment of material recording clerks (which includes weighers and checkers) to decline 6 percent from 2025 to 2035 [5], signaling that automation is quietly reshaping the field. S&P Global's 2026 research shows AI is already trimming headcount in administration and office support, manufacturing, production and customer service [6] roles.
The World Economic Forum similarly flags that clerical and secretarial workers are among the fastest-declining roles [7] as digitization spreads. Still, real-world adoption has friction: A3 points out that training targeted inspection models can require 250 to 1,000 labeled images [1], and many manufacturers start with cautious proof-of-concept projects. The good news for young workers: skills like calibrating equipment, spotting weird edge cases, verifying AI-flagged samples, and understanding standards remain very human.
If you build those skills — plus a little comfort with the software running the cameras — you'll be the person AI needs, not the one it replaces.
Sources
Will AI replace Weighers & Measurers?
In part. We think AI will eventually automate a real share of this work, but the transition opens doors for workers who build the right skills.
Our 27.5% AI Resilience Score reflects a genuinely exposed occupation. AI-powered vision systems can already weigh, count, and inspect products automatically, and computer vision tools in warehouses now log inventory from camera feeds instead of manual scans [4]. The Bureau of Labor Statistics projects employment in this field to decline 6 percent through 2035 [5], and that trend is unlikely to reverse.
That said, not everything disappears. Calibrating equipment, catching the edge cases AI flags incorrectly, and understanding quality standards still require human judgment. Someone has to verify that the system is working right, especially when something unusual shows up on the line [2]. Those skills matter now and will matter more as adoption spreads.
The smarter move is to treat this role as a starting point, not a destination. Workers who get comfortable with the software running these inspection systems, and who understand quality processes at a deeper level, can move toward quality technician, process control, or operations analyst roles. The routine checking gets automated first. The people who understand why the check matters tend to stay.
Sources
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Latest AI news for Weighers & Measurers
These articles highlight the evolving landscape for careers in "Weighers, Measurers, Checkers, and Samplers, Recordkeeping." The bipartisan legislation introduced by Kelly and Banks emphasizes the need to track AI's impact on jobs, which can help you understand potential changes in your field. The "AI Impact Tracker" provides insights into how AI may influence your work without necessarily replacing it, suggesting that skills in data interpretation could be increasingly valuable. Embracing AI resilience, you can adapt by focusing on enhancing your measurement and recordkeeping skills in a tech-driven environment.
Kelly, Banks lead labor AI data bill
www.kelly.senate.gov • 9/20/2026
Jun 10, 2026 — Kelly, Banks, Young Introduce Bipartisan Legislation to Track, Inform AI's Impact on the American Workforce. Read in Punchbowl: Tech: Kelly, ... Read more
AI Impact Tracker - Labor Pulse
laborpulse.org • 9/20/2026
AI labor signals are directional context, not direct displacement measurement. Measurers, Checkers, and Samplers, Recordkeeping 43-5111.00
Technical Appendix: Tracking AI-Related Job Loss Using ...
capolicylab.org • 9/20/2026
Jun 1, 2026 — The report uses two occupational measures of AI exposure which are linked to Unemployment Insurance (UI) claims: Potential and Observed AI ...
Job Details
www.employri.org • 9/20/2026
Aug 28, 2026 — View the personal characteristics that can affect how well Weighers, Measurers, Checkers, and Samplers, Recordkeeping perform. Nature of the ... Read more
Unbundling jobs: Measuring the value of tasks in an AI ...
www.adpresearch.com • 9/20/2026
Jul 29, 2026 — Measuring the quantity and value of these workplace tasks will provide a detailed view into how AI is affecting work, workers, and pay. Our ... Read more
More Career Info
Career: Weighers, Measurers, Checkers, and Samplers, Recordkeeping
They ensure products meet standards by weighing, measuring, and checking them, then recording the results to keep everything accurate and organized.
Parent Careers
Employment & Wage Data
Median Wage
$46,380
Jobs (2025)
53,600
Growth (2025-35)
-4.8%
Annual Openings
4,700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Unload or unpack incoming shipments.
2
Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses.
3
Collect product samples and prepare them for laboratory analysis or testing.
4
Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.
5
Collect or prepare measurement, weight, or identification labels and attach them to products.
6
Fill orders for products and samples, following order tickets, and forward or mail items.
7
Signal or instruct other workers to weigh, move, or check products.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
